Training in progress, step 40

README.md

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+---
+library_name: transformers
+base_model: aubmindlab/bert-base-arabertv02
+tags:
+- generated_from_trainer
+model-index:
+- name: ArabicNewSplits4_withSameOriginalTrainFileOfSplit3_FineTuningAraBERT_noAug_task5_organization
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# ArabicNewSplits4_withSameOriginalTrainFileOfSplit3_FineTuningAraBERT_noAug_task5_organization
+
+This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2766
+- Qwk: 0.6185
+- Mse: 1.2766
+- Rmse: 1.1299
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Qwk    | Mse    | Rmse   |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
+| No log        | 0.5   | 2    | 2.1918          | 0.0658 | 2.1918 | 1.4805 |
+| No log        | 1.0   | 4    | 1.4893          | 0.2213 | 1.4893 | 1.2204 |
+| No log        | 1.5   | 6    | 1.2602          | 0.2203 | 1.2602 | 1.1226 |
+| No log        | 2.0   | 8    | 1.3721          | 0.2921 | 1.3721 | 1.1714 |
+| No log        | 2.5   | 10   | 1.5477          | 0.4210 | 1.5477 | 1.2441 |
+| No log        | 3.0   | 12   | 1.6581          | 0.3796 | 1.6581 | 1.2877 |
+| No log        | 3.5   | 14   | 1.7377          | 0.3384 | 1.7377 | 1.3182 |
+| No log        | 4.0   | 16   | 1.5913          | 0.3929 | 1.5913 | 1.2615 |
+| No log        | 4.5   | 18   | 1.3286          | 0.4654 | 1.3286 | 1.1527 |
+| No log        | 5.0   | 20   | 1.2595          | 0.5472 | 1.2595 | 1.1223 |
+| No log        | 5.5   | 22   | 1.3522          | 0.5645 | 1.3522 | 1.1628 |
+| No log        | 6.0   | 24   | 1.2114          | 0.6261 | 1.2114 | 1.1007 |
+| No log        | 6.5   | 26   | 1.0620          | 0.6374 | 1.0620 | 1.0305 |
+| No log        | 7.0   | 28   | 0.9699          | 0.6781 | 0.9699 | 0.9849 |
+| No log        | 7.5   | 30   | 1.0178          | 0.6579 | 1.0178 | 1.0088 |
+| No log        | 8.0   | 32   | 1.0751          | 0.6562 | 1.0751 | 1.0369 |
+| No log        | 8.5   | 34   | 1.1597          | 0.6414 | 1.1597 | 1.0769 |
+| No log        | 9.0   | 36   | 1.2237          | 0.6270 | 1.2237 | 1.1062 |
+| No log        | 9.5   | 38   | 1.2766          | 0.6282 | 1.2766 | 1.1299 |
+| No log        | 10.0  | 40   | 1.2766          | 0.6185 | 1.2766 | 1.1299 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu118
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "aubmindlab/bert-base-arabertv02",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "regression",
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 64000
+}

model.safetensors

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+oid sha256:931894c656723f6cad4adb70ae13e426c98421da0043e4d78f817e95751e8a81
+size 540799996

training_args.bin

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